
About HyNote
HyNote: Turn User Interviews and Meetings Into Structured Notes
HyNote is an AI note-taker that records or ingests audio and turns it into a transcript, a summary, and a list of action items. For designers and researchers, the useful case is the one that eats the most time: user interviews. A round of eight research sessions is a full day of listening back and writing up; HyNote transcribes them, labels who said what, and produces a structured summary you can actually search across. Its tagline — "Turn any audio, meeting, or file into clear, actionable notes" — is broad, but interview and discovery work is where it earns its place next to tools like Dovetail and Lookback.
Key Features
- Live recording and file upload — Record a session as it happens, or upload existing MP3, WAV, M4A, or AAC files.
- Speaker identification — Separates and labels up to 10 participants with timestamps, so quotes can be attributed correctly.
- Transcription in 50+ languages — Useful for international research where sessions aren't all run in English.
- Summaries, not just keywords — Generates written summaries, key points, and action items rather than extracting keyword lists.
- 30+ templates — Including Interview Notes, Case Study, SWOT Analysis, Brainstorm Notes, and Follow-Ups.
- Beyond audio — Summarizes PDFs, web pages, and YouTube videos, and runs OCR on images and screenshots.
- Chat across all notes — Query your whole note library, which is how you spot a theme repeating across separate sessions.
- Exports and sync — Sends to Google Docs, Notion, PDF, or TXT; syncs with Google and Apple Calendar.
- Cross-device — Web, iOS, Android, iPad, Apple Watch, and a Chrome extension.
Why It Matters for Research and Discovery
The bottleneck in qualitative research is rarely running the sessions — it's synthesis. Transcribing by hand is slow, and skipping transcription means insights live only in whoever attended. Automatic transcription with speaker labels makes sessions quotable and searchable, and the "chat with all notes" feature turns a folder of interviews into something you can interrogate: which participants raised onboarding friction, what language did people use for a feature. It's also handy well outside research — stakeholder meetings, client calls, and design critiques all produce decisions that otherwise go unrecorded.
Worth being clear about scope: HyNote is a capture-and-summarize tool, not a full research repository. It won't tag findings against a taxonomy or manage participants the way a dedicated research platform does. What it does is remove the transcription and write-up step.
Security and Compliance
Because research recordings often contain personal data, the handling matters. HyNote encrypts data at rest with AES-256 and in transit with TLS 1.3, runs on SOC 2 Type II compliant infrastructure, and describes its workflows as aligned with GDPR, CCPA, and HIPAA. If you're recording participants, you still need their consent — but the platform side is credible.
Pricing
There is a free plan to start with. Paid tiers are Pro at $11.99/month ($79.99/year, about $6.66/month), Plus at $18.99/month ($129.99/year, about $10.83/month), and Unlimited at $24.99/month ($189.99/year, about $15.83/month), which HyNote marks as its most popular. Annual billing is roughly 45% cheaper per month, so the yearly commitment is where the real saving sits.
Who It's For
- UX researchers transcribing and synthesizing user interviews
- Product designers capturing discovery calls and stakeholder decisions
- Freelancers and agencies documenting client conversations
- Anyone who runs more conversations than they have time to write up
Conclusion
HyNote's value for a design team is narrow but real: it removes the write-up tax on user interviews and meetings, with speaker labels, searchable transcripts, and summaries that make sessions shareable rather than trapped in one person's memory. It isn't a research repository, and it isn't a design tool — but with a free plan and Pro from $6.66/month billed yearly, it's an inexpensive way to stop losing what was actually said.
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